Measuring attitudes to science: Unidimensionality and internal consistency revisited

Measuring attitudes to science: Unidimensionality and internal consistency revisited
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衡量对科学的态度:重新审视单维性和内部一致性

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发表时间:
1995
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通讯作者:
P. Gardner
P. Gardner
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文献类型:
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作者:
P. Gardner

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汇总评级态度量表通常由许多项目组成,将这些项目的分数相加得出总分。该技术的一个假设是量表中的项目反映了共同的结构。如果不满足这一点,该过程将产生无法解释的数据。尽管这一心理测量原理早已为人所知,但文献中的大量研究表明人们忽视了它。有些人没有尝试概念化要测量的结构;有些人则没有尝试将要测量的结构概念化。其他人将这一结构概念化,但随后忽略了它可能是多维的可能性;还有一些包含表明该构造是多维的证据,然后继续忽略该证据。造成混乱的一个可能原因是对内部一致性和一维性相关但又不同的概念的误解。本文介绍了不良和良好仪器设计的例子,希望这些问题的澄清能够在未来产生影响。
Summated ratings attitude scales commonly consist of numerous items whose scores are summed to yield a total score. An assumption underlying this technique is that the items in the scale reflect a common construct. If this is not met, the procedure produces uninterpretable data. Although this psychometric principle has been known for a long time, numerous studies in the literature demonstrate a neglect of it. Some make no attempt to conceptualise the construct to be measured; others conceptualise the construct but then ignore the possibility that it may be multidimensional; still others contain evidence indicating that the construct is multidimensional and then proceed to ignore that evidence. A possible contributor to the confusion is the misunderstanding of the related yet distinct concepts of internal consistency and unidimensionality. This paper presents examples of poor and good instrument design, in the hope that clarification of the issues might make a difference in the future.